
Optimize AI Prompts for Financial Applications
4 days ago
About the Role:
The AI Prompt Optimization Specialist will be responsible for designing, developing, and optimizing AI prompts and workflows to enhance our FinTech tools, models, and websites. This includes creating prompt templates, integrating large language model (LLM) capabilities, testing model outputs, and developing AI-driven features for financial applications.
Responsibilities:
- Design and optimize prompts for LLMs to support FinTech applications.
- Develop prompt templates and workflows for financial data analysis, risk assessment, and customer support.
- Create and maintain prompt libraries for various AI-powered features across our platforms.
- Integrate AI/LLM capabilities into existing web applications and tools.
- Test, evaluate, and iterate on prompt performance to ensure accuracy and reliability.
- Work with APIs from AI service providers.
- Collaborate with development team to implement AI features in frontend and backend systems.
- Develop conversational AI interfaces for customer interactions and financial advisory services.
- Create documentation and best practices for prompt engineering workflows.
- Conduct A/B testing on different prompt variations to optimize performance.
- Research and implement emerging prompt engineering techniques and methodologies.
Qualifications:
- Basic understanding of large language models (LLMs) and prompt engineering principles.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently in a remote setting.
- Strong written communication skills for creating clear and effective prompts.
Benefits:
- Opportunity to build practical skills with cutting-edge AI and prompt engineering technologies.
- Enhance your professional portfolio with real-world AI implementation projects.
- Exposure to FinTech industry and AI-driven financial solutions in a remote work environment.
Internship Details:
- Duration: 1-6 months at the option of the student.
- Timings: Self-paced.
- Type: Unpaid.
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